Abstract: A system for identifying defects and measuring geometric dimensions in cosmetic ophthalmic lens immersed in a Saline solution, the system, comprising: a) at least one camera for obtaining images of the cosmetic ophthalmic lens, the camera having an optical axis; b) at least one electronically controlled illumination module designed with Visible and infrared LEDs, segmented accordingly and suitably integrated to be positioned along the vertical optical axis for directing light at different angles of the cosmetic ophthalmic lens; c) a customised glass cuvette designed with concave, concentric and spherical surfaces to avoid adding more optical power to the cosmetic ophthalmic lens under inspection and with the radius of the interior surface of the cuvette designed to be bigger than the lens to enable locating the cosmetic ophthalmic lens to the centre of the cuvette during inspection; d) a strobe controller integrated to the illumination module and Camera that is capable of capturing multiple images in quick su

Abstract: An anomaly detection method for detecting an anomaly in an in-vehicle network of an in-vehicle network system including a plurality of electronic control units that transmit and receive messages via the network includes: generating image data of a reception interval between a plurality of messages included in a message sequence in a predetermined period out of a message sequence received from the in-vehicle network, or image data of a transition of a sensor value of the plurality of messages; classifying the image data using a trained CNN according to whether an attack message has been inserted in the predetermined period; and when the attack message has been inserted in the predetermined period, outputting a detection result indicating that an insertion attack which is an insertion of the attack message has been made in the predetermined period.

Abstract: A system to inspect Dry Cosmetic contact lenses for defects such as imperfect structures, improper pattern prints, print smears, wrong colour, embedded foreign material or contaminants, wherein the said lens is printed with multilayers of ink on the anterior surface using at least one colourant and a binding polymer comprising: a) a Top camera to capture an image of the cosmetic lens; b) a Top illumination designed using IR wavelength LEDs positioned at an acute angle to the vertical axis and integrated with a lens system to produce a parallel and collimated illumination field; c) a bottom illumination designed using IR wavelength LEDs to illuminate the lens posterior; d) an optically transparent glass plate to accurately locate the lens at a predetermined position and also to diffuse the illumination; e) a contact lens under inspection placed on the transparent glass plate with its anterior surface facing the Camera and Top illumination; f) the Top and Bottom illumination designed using segmented LEDs arrang

Abstract: A system for detecting refractive power of a dry ophthalmic lens under inspection, comprising: a) a top camera 10 arranged to view the ophthalmic lens 40 through an optical module 25; b) an optically transparent surface 30 to position the ophthalmic lens 40 for inspection; c) a precisely calibrated glass target 50 suitably positioned on a transparent plate 60, arranged to achieve an image of the ophthalmic lens 40 overlaid with the image of the pattern on the target 50; d) at least one light source having multiple wavelength LEDs to capture different images under multiple lighting conditions.

Abstract: A multifunction peripheral includes a processor and a memory storing boundary data defining a boundary between allowable and prohibited document processing jobs. The processor receives a document processing job and analyzes it relative to boundary data stored in the memory. The processor selectively performs the document processing job in accordance with analysis of the received document processing job relative to the boundary data. The boundary data defines what is acceptable or unacceptable for a document processing operation. The boundary data is determined via machine learning applied to analysis of document content, document metadata, rules or policies.